Master Thesis Deep Learning for Multi-Channel Vision in Product Manufacturing

Job description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description: Apply now to Bosch Research and combine academic excellence with real-world industrial impact. In this Master thesis, you will contribute to the development of advanced anomaly detection methods for industrial multi-channel vision systems for quality assessment in series production. Our goal is to design a generalizable deep-learning model that leverages vision features to reliably detect defects across varying products and manufacturing scenarios. - During your Thesis you will explore cutting-edge approaches in anomaly detection and multi-channel image processing to develop a novel, generalizable model for quality assessment in industrial production. - Furthermore you will implement, train, and evaluate your approach using real-world production data, ensuring its robustness and suitability for industrial application...